Matching Design and Simulation of Powertrain Parameters for Electric Vehicles

Xian Wu Gong; De Jun Wu; Jian Ma

doi:10.4028/www.scientific.net/AMR.655-657.596

Paper Titles

Optimal Design of Modified Cylindrical Gear Based on Minimum Flash Temperature of Tooth Surfaces
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Study on Numbers of Multi-Tooth Meshing Teeth Pairs for Involute Internal Gear Pairs with Small Tooth Number Difference
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The Research of High Precision FA45-29 Prototype Design and Process
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Study on Avoiding Undercutting of Stub Tooth Involute Gear with 22.5 Degree Pressure Angle
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Matching Design and Simulation of Powertrain Parameters for Electric Vehicles
p.596

Raising Torque Calculation System Design for Single-Arm Pantograph
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Influence of Assembly Tolerance on Dynamic Characteristics of Motor Rotation Assembly
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Modeling and Simulation of the Marine Permanent Magnet Synchronous Propulsion Motor with Direct Torque Control System
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Numerical Analysis of the Vibration of Pipes Conveying Fluid under the Influence of Vertical Branch
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657Matching Design and Simulation of Powertrain...

Matching Design and Simulation of Powertrain Parameters for Electric Vehicles

Abstract:

This paper is aimed at developing a design methodology of powertrain parameters matching for electric vehicles. The vehicles’ dynamics were studied in an attempt to find an optimal torque-speed profile for the electric propulsion system. This study reveals that the motor peak-power characteristic is associated with acceleration and grade ability of vehicles, and the motor rated-power characteristic is related with maximum vehicle velocity. Powertrain parameters of a model vehicle were also designed through theoretical calculation and simulation. To reduce the vehicle mass, a fixed gear ratio transmission is adopted, and the transmission ratio was optimized aimed to improve the energy efficiency. The simulation with chosen driving cycles indicate that parameters matching of the vehicle powertrain are reasonable and can meet the design specification of vehicle power performance and driving range capability.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

596-602

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.596

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Online since:

January 2013

Authors:

Xian Wu Gong, De Jun Wu, Jian Ma

Keywords:

Electric Vehicle (EV), Parameters Matching, Powertrain Parameters, Transmission Ratio Optimization

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